The Chemical Safety Board will present its findings and recommendations from its April 2018 FCC Unit Explosion and Asphalt Fire at Husky Superior Refinery investigation, published in December 2022. Two FCC experts will then discuss industry's response and the integration of lessons learned into FCC training.
Speakers:
Ziad Jawad, Phillips 66
Richard Grove, Chevron USA
Melike Yersiz, US Chemical Safety Board
WASHINGTON D.C. – Chet Thompson, president and CEO of the American Fuel & Petrochemical Manufacturers (AFPM), today released the following statement in response to the Environmental Protection Agency’s efforts to modify how it approaches cost-benefit evaluations of its environmental rules.
Artificial Intelligence, Advanced Process Controls
Facilitator:
Atique Malik, AIControl LLC
Speaker:
Yangdong Pan, Delek US
Toni Adetayo, Imubit, Inc.
Multi-unit optimization has long been a complex issue in the oil and gas industry. Despite efforts using first-principle models or empirical approaches, challenges persist. However, the emergence of machine learning and AI technologies offers an alternative solution. In particular, AI-based process control technology has shown promise for multi-unit optimization. This session will delve into an example using a distillate system optimizer to understand how these AI models address large-scale optimization challenges and how parent and child models collaborate.
Participants will learn:
The strength of the technology and its high flexibility of handling core issues
How the technology deals with the availability of individual units, and cooperates with unit controllers from other advanced control technologies
How to sustain the technology’s performance and benefits
Artificial Intelligence, Advanced Process Controls
Facilitator:
Atique Malik, AIControl LLC
Speaker:
Yangdong Pan, Delek US
Toni Adetayo, Imubit, Inc.
Multi-unit optimization has long been a complex issue in the oil and gas industry. Despite efforts using first-principle models or empirical approaches, challenges persist. However, the emergence of machine learning and AI technologies offers an alternative solution. In particular, AI-based process control technology has shown promise for multi-unit optimization. This session will delve into an example using a distillate system optimizer to understand how these AI models address large-scale optimization challenges and how parent and child models collaborate.
Participants will learn:
The strength of the technology and its high flexibility of handling core issues
How the technology deals with the availability of individual units, and cooperates with unit controllers from other advanced control technologies
How to sustain the technology’s performance and benefits
We have made significant investments to reduce emissions. We have invested hundreds of billions of dollars to produce even cleaner gasoline and diesel fuels and improve the environmental performance and efficiency of our facilities and operations.
